"树莓派常用安装docker命令"

Published on Aug. 22, 2023, 12:06 p.m.

树莓派常用安装docker命令

这里只是列出一些常用的镜象，其他的可以到
https://hub.docker.com/search?q=&type=image&architecture=arm64
这里。
只要是arm64架构的都ok

===

美杜莎

docker pull linuxserver/medusa
docker create \ --name=medusa \ --restart unless-stopped \ -v /home/pi/data/medusa:/config \ -v /home/pi/:/home/pi/ \ -e PGID=1000 -e PUID=1000 \ -e TZ=Asia/Shanghai \ -p 8081:8081 \ linuxserver/medusa
docker create
–name=medusa
–restart unless-stopped
-v /home/pi/data/medusa:/config
-v /home/pi/dirve/:/media/AiDisk_a1
-e PGID=1000 -e PUID=1000

-e TZ=Asia/Shanghai
-p 8081:8081
linuxserver/medusa:arm32v7-latest

docker run -d
–name=medusa
–restart unless-stopped
-v /mnt/:/mnt/
-e PGID=0 -e PUID=0

-e TZ=Asia/Shanghai
-p 8081:8081
linuxserver/medusa:arm32v7-latest

linuxserver/medusa

couchpotato

docker create \
  --name=couchpotato \
  -e PUID=1000 \
  -e PGID=1000 \
  -e TZ=Asia/Shanghai  \
  -e UMASK_SET=022 \
  -p 5050:5050 \
  -v /home/pi/data/couchpotato:/config 
    -v /home/pi/:/home/pi/ \
  --restart unless-stopped \
  linuxserver/couchpotato

docker create
–name=couchpotato
-e PUID=1000
-e PGID=1000
-e TZ=Asia/Shanghai

-e UMASK_SET=022
-p 5050:5050
-v /home/pi/data/couchpotato:/config
-v /home/pi/dirve/:/media/AiDisk_a1
–restart unless-stopped
linuxserver/couchpotato

rutorrent

docker create \ --name=rutorrent \ -e PUID=1000 \ -e PGID=1000 \ -p 8082:80 \ -p 5000:5000 \ -p 51413:51413 \ -p 6881:6881/udp \ -v /home/pi/dirve/data/rutorrent:/config \ -v /home/pi/dirve/Download:/downloads \ -v /home/pi/dirve:/home/pi/dirve \ --restart unless-stopped \ linuxserver/rutorrent
qbittorrent

docker create \ --name=qbittorrent \ -e PUID=1000 \ -e PGID=1000 \ -e TZ=Asia/Shanghai \ -e UMASK_SET=022 \ -e WEBUI_PORT=8080 \ -p 6881:6881 \ -p 6881:6881/udp \ -p 8080:8080 \ -v /home/pi/dirve/data/qbittorrent:/config \ -v /home/pi/dirve/Download:/downloads \ -v /home/pi/dirve:/home/pi/dirve \ --restart unless-stopped \ linuxserver/qbittorrent
qbittorrent

docker create \ --name=qbittorrent \ -v /home/pi/dirve/data/qbittorrent:/config \ -v /home/pi/dirve/Download:/downloads \ -v /home/pi/dirve:/home/pi/dirve \ -e PGID=1000 -e PUID=1000 \ -e UMASK_SET=022 \ -e WEBUI_PORT=8080 \ -e TZ=Asia/Shanghai \ -p 6881:6881 \ -p 6881:6881/udp \ -p 8080:8080 \ lsioarmhf/qbittorrent
emby/embyserver_arm32v7_neon

docker run -d 
    --name=emby 
    --restart unless-stopped 
    --volume /home/pi/data/emby:/config
    -v /home/pi/:/home/pi/ 
<pre><code>--publish 8096:8096
--publish 8920:8920
--env UID=1000
--env GID=1000 
--env GIDLIST=1000 
emby/embyserver_arm32v7_neon
</code></pre>

docker run -d
–name=emby

–restart unless-stopped
–volume /home/pi/data/emby:/config
-v /home/pi/:/home/pi/
–publish 8096:8096
–publish 8920:8920
–env UID=1000

–env GID=1000
–env GIDLIST=1000

emby/embyserver_arm32v7

kodexplorer

docker run -d -p 8083:80 --name kodexplorer -v "$PWD":/home/pi/dirve yangxuan8282/kodexplorer

docker create \
    --name nginx-php-fpm --publish 99:80/tcp \
    -v /home/pi/dirve:/home/pi/dirve \
    -v /home/pi/dirve:/var/www/ \
    edofede/nginx-php-fpm:latest
<h1>docker start nginx-php-fpm</h1>

jupyter 8888

docker create \
    --name jupyter -d -p 8888:8888 \
    -v /home/pi/dirve/data/jupyter/jupyter_notebook_config.py/jupyter_notebook_config.py:/home/jovyan/.jupyter/jupyter_notebook_config.py \
    -v /home/pi/dirve/data/jupyter/jupyter_notebook_config.py/jupyter_notebook_config.py:/root/.jupyter/jupyter_notebook_config.py \
    -v /home/pi/dirve:/home/pi/dirve \
    -v /home/pi/dirve/data/jupyter/notebooks:/home/jovyan/work \
    maxjiang/rpi-jupyter-conda</p>
<h1>进入ssh</h1>
<p>docker exec -it jupyter /bin/bash</p>
<p>docker run --name jupyter -it -d -p 8888:8888 -v /home/pi/dirve/data/jupyter/jupyter_notebook_config.py/jupyter_notebook_config.py:/home/jovyan/.jupyter/jupyter_notebook_config.py  -v /home/pi/dirve/data/jupyter/jupyter_notebook_config.py/jupyter_notebook_config.py:/root/.jupyter/jupyter_notebook_config.py -v /home/pi/dirve:/home/pi/dirve -v /home/pi/dirve/data/jupyter/notebooks:/home/jovyan/work maxjiang/rpi-jupyter-conda</p>
<p>docker run -d -p 8888:8888 movalex/rpi-jupyter-conda</p>
<h2>ok</h2>
<p>docker run --name jupyter -it -p 8888:8888 -v /home/pi/dirve/data/jupyter/jupyter_notebook_config.py/jupyter_notebook_config.py:/home/jovyan/.jupyter/jupyter_notebook_config.py  -v /home/pi/dirve/data/jupyter/jupyter_notebook_config.py/jupyter_notebook_config.py:/root/.jupyter/jupyter_notebook_config.py -v /home/pi/dirve:/home/pi/dirve -v /home/pi/dirve/data/jupyter/notebooks:/home/jovyan/work movalex/rpi-jupyter-conda</p>
<p>```
docker exec -it 1bc8763227ce /bin/bash

docker pull vincentravera/jupyter-docker
docker run -p 8888:8888 -d vincentravera/jupyter-docker

<h2>linuxserver/jellyfin</h2>
jellyfin是个ｅｍｂｙ的开源版本
树莓派下使用ｄｏｃｋｅｒ快速安装。
https://jellyfin.org/docs/general/administration/installing.html#docker

docker run -d \
–volume /mnt/ｂ/cache:/cache \
–volume /mnt/:/media \
–user 1000:1000 \
–restart=unless-stopped \
–name jellyfin \
-p 8096:8096 \
jellyfin/jellyfin

```

树莓派快速启动filebrowser文件浏览器
https://github.com/filebrowser/filebrowser/
之前是caddyserver的一个组件，后来独立出来的。
docker run -d --name=filebrowser --restart unless-stopped -v /mnt/:/mnt/pi/ --publish 8099:80 --env UID=1000 --env GID=1000 --env GIDLIST=1000 filebrowser/filebrowser

这样的话就可以访问
访问地址：ip:8099
帐号密码：admin/admin
进入里面设置下目录到/mnt下就可以了

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